Learning to converge to an efficient, i.e., Pareto-optimal Nash equilibrium of the repeated game is an open problem in multiagent learning. Our goal is to facilitate the learning ...
A major challenge for traditional approaches to multiagent learning is to train teams that easily scale to include additional agents. The problem is that such approaches typically...
David B. D'Ambrosio, Joel Lehman, Sebastian Risi, ...
Abstract— Starting from the situated and embodied perspective on the study of biological cognition as a source of inspiration, this paper programmatically outlines a path towards...
This paper introduces AgentSpeak(F), a variation of the BDI logic programming language AgentSpeak(L) intended to permit the model-theoretic verification of multi-agent systems. A...
Rafael H. Bordini, Michael Fisher, Carmen Pardavil...
Abstract 1 Different definitions of agents use concepts such as autonomy, pro-activity, reactivity, social abilities, and intentional models. Very few (if any), however, refer to...
Frances M. T. Brazier, Maarten van Steen, Niek J. ...